Search Results (34)

Background: Early identification of sepsis is critical for improving outcomes, particularly in low-resource emergency settings. In Thai community hospitals, where physicians may not always be available, triage is often nurse-led. Selecting accurate and practical sepsis screening tools is essential not only for timely clinical decision-making but also for timely diagnosis and promoting appropriate antibiotic use. Methods: This cross-sectional study analyzed 475 adult patients with suspected sepsis who presented to the emergency department of a Thai community hospital, using retrospective data from January 2021 to December 2022. Six screening tools were evaluated: Systemic Inflammatory Response Syndrome (SIRS), Quick Sequential Organ Failure Assessment (qSOFA), Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), National Early Warning Score version 2 (NEWS2), and Search Out Severity (SOS). Diagnostic accuracy was assessed using International Classification of Diseases, Tenth Revision (ICD-10) codes as the reference standard. Performance metrics included sensitivity, specificity, predictive values, likelihood ratios, and the area under the receiver operating characteristic (AUROC) curve, all reported with 95% confidence intervals. Results: SIRS had the highest sensitivity (84%), while qSOFA demonstrated the highest specificity (91%). NEWS2, NEWS, and MEWS showed moderate and balanced diagnostic accuracy. SOS also demonstrated moderate accuracy. Conclusions: A two-step screening approach—using SIRS for initial triage followed by NEWS2 for confirmation—is recommended. This strategy enhances nurse-led screening and optimizes limited resources in emergency care. Early sepsis detection through accurate screening tools constitutes a feasible public health intervention to support appropriate antibiotic use and mitigate antimicrobial resistance, especially in resource-limited community hospital settings. Full article

Background: Respiratory infections (RIs) are a common cause of care by Prehospital Emergency Medical Services (PEMS). Early Warning Scores (EWS) are tools used by PEMS to assess patients with acute pathology. However, there is little evidence of their application in RIs. The primary aim of this study was to assess the ability of five EWS to predict one-year mortality (M1Y) and two-year (M2Y) mortality in patients with suspected RI assisted by PEMS. The secondary objective was to perform a survival analysis. Methods: An observational and prospective study was conducted in adult patients with RIs transferred by EMS to their referral hospital. The variables necessary for the calculation of EWS [National Early Warning Score 2 (NEWS2), Quick Sequential Organ Failure Assessment (qSOFA) score, Quick COVID-19 Severity Index (qCSI), CURB-65 Score for Pneumonia Severity (CURB-65) and BAP-65 Score for Acute Exacerbation of COPD (BAP-65) score] were collected. The prognostic ability of the EWS was assessed by the area under the receiver operating characteristic curve (AUC). Patients were followed up and a survival study was performed. Results: A total of 819 patients met the inclusion criteria. M1Y was 55.9% and M2Y was 63.5%. BAP-65 showed the best predictive ability at both 1 and 2 years, with AUC of 0.716 and 0.711, respectively. 48.8% of deaths took place during the first month. Conclusions: BAP-65 was the score with the best ability to predict both M1Y and M2Y after the index event in patients with RIs. All other EWS analyzed showed poor performance except in patients with low comorbidity. Full article

Background and Objectives: Odontogenic infections (OIs) can lead to severe complications if not promptly diagnosed and treated. The Quick Sequential Organ Failure Assessment (qSOFA), derived Neutrophil-to-Lymphocyte Ratio (dNLR); Modified Early Warning Score (MEWS); and Predisposition, Infection, Response, and Organ Dysfunction (PIRO) scores are clinical tools used to predict the severity and outcomes in various infections. This study aims to evaluate the efficacy of these scores in predicting the severity of OIs in adult patients. Methods: A retrospective cohort study was conducted on 120 patients hospitalized for OIs, divided into two groups based on infection severity, using the Symptom Severity (SS) scale. The qSOFA, dNLR, MEWS, and PIRO scores were calculated upon admission. Statistical analyses were performed to assess the predictive value of these scores for severe OIs. Results: Patients with severe OIs (Group B) had significantly higher qSOFA, dNLR, MEWS, and PIRO scores compared to those with lower severity (Group A). The median qSOFA score was 2.00 in Group B versus 0.85 in Group A. No significant difference was observed between young patients and adults in terms of severity. ROC curve analysis showed that the PIRO score had the highest predictive value for severe OI (AUC = 0.912), followed by MEWS (AUC = 0.878), qSOFA (AUC = 0.845), and dNLR (AUC = 0.812). Multivariate logistic regression indicated that the PIRO score was an independent predictor of severe OI (OR = 8.45, 95% CI: 4.12–12.78). Conclusions: The qSOFA, dNLR, MEWS, and PIRO scores are valuable tools for predicting the severity of OIs. Among them, the PIRO score demonstrated the highest predictive accuracy and may be incorporated into clinical practice for early identification of high-risk patients. Full article

Background and Objectives: Odontogenic infections (OIs) can progress rapidly and may lead to severe systemic complications, especially in patients with underlying conditions like diabetes mellitus (DM). This study aims to evaluate the predictive value of inflammatory scores—quick Sequential Organ Failure Assessment (qSOFA), Systemic Immune–Inflammation Index (SII), derived Neutrophil-to-Lymphocyte Ratio (dNLR), and Odontogenic Infection Severity Score (OISS)—in assessing the severity of OIs in diabetic versus non-diabetic patients. Materials and Methods: A case–control study was conducted on 123 patients diagnosed with OIs. Patients were divided into two groups: patients with diabetes (n = 42) and patients who were non-diabetic (n = 81). Inflammatory scores were calculated at admission and correlated with clinical outcomes. Statistical analyses included t-tests, chi-square tests, and multivariate logistic regression. Results: The patients with diabetes exhibited significantly higher OISS scores (mean 6.5 ± 2.8) compared to the patients who were non-diabetic (mean 4.8 ± 2.1, p < 0.001). The inflammatory markers qSOFA, SII, and dNLR were significantly elevated in the diabetic group (all p < 0.01). The SII demonstrated the highest predictive accuracy for severe OIs in patients with diabetes, with an area under the curve (AUC) of 0.88 (95% CI: 0.80–0.95). Diabetes mellitus was an independent predictor of severe OIs (OR: 3.2, 95% CI: 1.5–6.8, p = 0.003). Conclusions: Inflammatory scores, particularly SII, are effective in predicting the severity of odontogenic infections in patients with diabetes. Incorporating these scores into clinical practice may enhance the early identification of high-risk patients and improve management strategies. Full article

Listeria monocytogenes causes listeriosis, a serious foodborne illness with a high mortality rate, especially in vulnerable populations. It accounts for 19% of foodborne deaths, with invasive cases having a mortality rate of up to 44%, leading to conditions like meningitis, bacteremia, and meningoencephalitis. However, the prognostic factors remain unclear. This study examines the hospital outcomes of invasive listeriosis and identifies risk factors for in-hospital and one-year mortality. We analyzed the electronic medical records of 118 hospitalized patients with non-perinatal, culture-proven invasive listeriosis collected over a 21-year period. The in-hospital mortality rate was 36.4%, with only 33.1% surviving one year and 22.0% surviving two years. The key findings indicate that a quick Sequential Organ Failure Assessment (qSOFA) score of ≥2 (OR 106.59, p < 0.001), respiratory failure (OR 7.58, p = 0.031), and shorter ampicillin duration (OR 0.53, p = 0.012) independently predicted poorer in-hospital outcomes. Additionally, a qSOFA score of ≥2 (OR 8.46, p < 0.001) and shorter ampicillin duration (OR 0.65, p < 0.001) were linked to higher one-year mortality. This study is the first to identify a qSOFA score of ≥2 as a significant marker for high-risk invasive listeriosis patients, with poorer outcomes linked to a qSOFA score of ≥2, respiratory failure, and shorter ampicillin use. Full article

Background: This study aims to verify whether the blood flow velocity and the diameter size, measured through intra-carotid artery Doppler measurements performed on sepsis patients visiting the emergency department, are useful as tools for predicting the risk of early death. Methods: As a prospective study, this research was performed on sepsis patients who visited a local emergency medical center from August 2021 to February 2023. The sepsis patients’ carotid artery was measured using Doppler imaging, and they were divided into patients measured for the size of systolic and diastolic mean blood flow velocity and diameter size: those measured for their qSOFA (quick sequential organ failure assessment) score and those measured using the SIRS (systemic inflammatory response syndrome) criteria. By measuring and comparing their mortality prediction accuracies, this study sought to verify the usefulness of blood flow velocity and the diameter size of the intra-carotid artery as tools to predict early death. Results: This study was conducted on 1026 patients, excluding 45 patients out of the total of 1071 patients. All sepsis patients were measured using systolic and diastolic blood flow velocity and diameter by Doppler imaging of the intra-carotid artery, assessed using qSOFA and evaluated using SIRS criteria. The results of the analysis performed to compare the mortality prediction accuracy were as follows. First, the hazard ratio (95% CI) of the intra-carotid artery was significant (p < 0.05), at 1.020 (1.004–1.036); the hazard ratio (95% CI) of qSOFA was significant (p < 0.05), at 3.871 (2.526–5.931); and the hazard ratio (95% CI) of SIRS showed no significant difference, at 1.002 (0.995–1.009). After 2 h of infusion treatment, the diameter size was 4.72 ± 1.23, showing a significant difference (p < 0.05). After 2 h of fluid treatment, the blood flow velocity was 101 m/s ± 21.12, which showed a significant difference (p < 0.05). Conclusions: Measuring the mean blood flow velocity in the intra-carotid arteries of sepsis patients who visit the emergency department is useful for predicting the risk of death at an early stage. And this study showed that Doppler measurement of the diameter size of the carotid artery significantly increased after performing fluid treatment after early recognition. Full article

Background: The respiratory adjusted shock index (RASI) is a risk score whose usefulness in patients with sepsis and trauma has previously been reported. However, its relevance in elderly emergency patients with medical diseases is yet to be clarified. This study assessed the usefulness of the RASI, which can be evaluated without requiring special equipment, to provide objective and rapid emergency responses. Methods: In this retrospective study, we recruited patients with medical diseases, aged 65 years or older, who were transported to the emergency room from Tokushima Prefectural Kaifu Hospital and underwent arterial blood gas testing from 1 January 2022 to 31 December 2023. We investigated the association of the RASI with other indices, including the lactate level, National Early Warning Score 2 (NEWS2), Shock Index (SI), Sequential Organ Failure Assessment (SOFA) score, quick SOFA (qSOFA) score, and systemic inflammatory response syndrome (SIRS). Results: In this study, we included 260 patients (mean age, 86 years), of whom 234 were admitted to the hospital; 27 and 49 patients died within 7 and 30 days of admission, respectively. The RASI was positively correlated with the lactate level, NEWS2, SI, and increase in the SOFA score (p < 0.001). The RASI was higher in patients with a SIRS or qSOFA score ≥ 2 than in those without (p < 0.001). It predicted death within 7 and 30 days of admission with an area under the curve (AUC) of 0.80 (95% confidence interval [CI]: 0.73–0.87), sensitivity of 96.3%, and specificity of 53.6% when the cutoff value was set to 1.58 and with an AUC of 0.73 (95% CI: 0.66–0.81), sensitivity of 69.4%, and specificity of 70.6% when the cutoff value was set to 1.83, respectively. Conclusions: The RASI is a simple indicator that can be used for predicting in-hospital outcomes in elderly emergency patients with medical diseases. Larger prospective studies based on this study are needed. Full article

Background and Objectives: Sepsis represents a global health challenge and requires advanced diagnostic and prognostic approaches due to its elevated rate of morbidity and fatality. Our study aimed to assess the value of a novel set of six biomarkers combined with severity scores in predicting 28 day mortality among patients presenting with sepsis in the Emergency Department (ED). Materials and Methods: This single-center, observational, prospective cohort included sixty-seven consecutive patients with septic shock and sepsis enrolled from November 2020 to December 2022, categorized into survival and non-survival groups based on outcomes. The following were assessed: procalcitonin (PCT), soluble Triggering Receptor Expressed on Myeloid Cells-1 (sTREM-1), the soluble form of the urokinase plasminogen activator receptor (suPAR), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), and azurocidin 1 (AZU1), alongside clinical scores such as the Quick Sequential Organ Failure Assessment (qSOFA), Systemic Inflammatory Response Syndrome (SIRS), the Sequential Organ Failure Assessment (SOFA), the Acute Physiology and Chronic Health Evaluation II (APACHE II), the Simplified Acute Physiology Score II and III (SAPS II/III), the National Early Warning Score (NEWS), Mortality in Emergency Department Sepsis (MEDS), the Charlson Comorbidity Index (CCI), and the Glasgow Coma Scale (GCS). The ability of each biomarker and clinical score and their combinations to predict 28 day mortality were evaluated. Results: The overall mortality was 49.25%. Mechanical ventilation was associated with a higher mortality rate. The levels of IL-6 were significantly higher in the non-survival group and had higher AUC values compared to the other biomarkers. The GCS, SOFA, APACHEII, and SAPS II/III showed superior predictive ability. Combining IL-6 with suPAR, AZU1, and clinical scores SOFA, APACHE II, and SAPS II enhanced prediction accuracy compared with individual biomarkers. Conclusion: In our study, IL-6 and SAPS II/III were the most accurate predictors of 28 day mortality for sepsis patients in the ED. Full article

The concept of the quick sequential organ failure assessment (qSOFA) simplifies sepsis detection, and the next SOFA should be analyzed subsequently to diagnose sepsis. However, it does not include the concept of suspected infection. Thus, we simply developed a biomarker-based assessment model for detecting sepsis (BADS). We retrospectively reviewed the electronic health records of patients admitted to the intensive care unit (ICU) of a 2000-bed university tertiary referral hospital in South Korea. A total of 989 patients were enrolled, with 77.4% (n = 765) of them having sepsis. The patients were divided into a ratio of 8:2 and assigned to a training and a validation set. We used logistic regression analysis and the Hosmer–Lemeshow test to derive the BADS and assess the model. BADS was developed by analyzing the variables and then assigning weights to the selected variables: mean arterial pressure, shock index, lactate, and procalcitonin. The area under the curve was 0.754, 0.615, 0.763, and 0.668 for BADS, qSOFA, SOFA, and acute physiology and chronic health evaluation (APACHE) II, respectively, showing that BADS is not inferior in sepsis prediction compared with SOFA. BADS could be a simple scoring method to detect sepsis in critically ill patients quickly at the bedside. Full article

Background: Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) has shown constant incidence throughout time, despite advances in endoscopic technology, devices, or personal skills of the operating endoscopists, with prevention and prediction of severity in PEP being constant concerns. Several prospective studies have investigated the role of systemic inflammatory response syndrome (SIRS) criteria or the quick Sequential Organ Failure Assessment (qSOFA) score in the PEP severity assessment. However, there are no clearly defined tools for the prediction of PEP severity. Methods: A total of 403 patients were prospectively monitored 60 days after ERCP for the detection of PEP development. Consequently, we evaluated the lengths of stay, incidence of organic dysfunction, and mortality rates of these patients. The predictive power of the univariate model was evaluated by using the receiver operating characteristic curve and analyzing the area under the curve (AUC). Results: Incidence of PEP was similar to that reported in the majority of trials. The 60-day survival rate of PEP patients reached 82.8%. A qSOFA score ≥ 1 is a very good predictor for organ dysfunction (AUC 0.993, p < 0.0001). SIRS can also be considered a significant predictor for organic dysfunctions in PEP patients (AUC 0.926, p < 0.0001). However, only qSOFA was found to significantly predict mortality in PEP patients (AUC 0.885, p = 0.003), with SIRS criteria showing a much lower predictive power. Neither SIRS nor qSOFA showed any predictive value for the length of stay of PEP patients. Conclusion: Our study offers novel information about severity prediction in PEP patients. Both SIRS criteria and qSOFA showed good predictive value for organic dysfunction, mortality, and hospitalization. Full article

Background and Objectives: Patients with urinary tract obstruction (UTO) and systemic inflammatory response syndrome (SIRS) are at risk of developing urosepsis, whose evolution involves increased morbidity, mortality and cost. The aim of this study is to evaluate the ability of already existing scores and biomarkers to diagnose, describe the clinical status, and predict the evolution of patients with complicated urinary tract infection (UTI) and their risk of progressing to urosepsis. Materials and Methods: We conducted a retrospective study including patients diagnosed with UTI hospitalized in the urology department of” Sfântul Apostol Andrei” County Emergency Clinical Hospital (GCH) in Galati, Romania, from September 2019 to May 2022. The inclusion criteria were: UTI proven by urine culture or diagnosed clinically complicated with UTO, fever or shaking chills, and purulent collections, such as psoas abscess, Fournier Syndrome, renal abscess, and paraurethral abscess, showing SIRS. The exclusion criteria were: patients age < 18 years, pregnancy, history of kidney transplantation, hemodialysis or peritoneal dialysis, and patients with missing data. We used the Sequential (Sepsis-Related) Organ Failure Assessment (SOFA) and qSOFA (quick SOFA) scores, and procalcitonin (PCT) to describe the clinical status of the patients. The Charlson Comorbidity Index (CCI) was used to assesses pre-existing morbidities. The hospitalization days and costs and the days of intensive care were considered. Depending on the diagnosis at admission, we divided the patients into three groups: SIRS, sepsis and septic shock. The fourth group was represented by patients who died during hospitalization. Results: A total of 174 patients with complicated UTIs were enrolled in this study. From this total, 46 were enrolled in the SIRS group, 88 in the urosepsis group, and 40 in the septic shock group. A total of 23 patients died during hospitalization and were enrolled in the deceased group. An upward trend of age along with worsening symptoms was highlighted with an average of 56.86 years in the case of SIRS, 60.37 years in the sepsis group, 69.03 years in the septic shock, and 71.04 years in the case of deceased patients (p < 0.04). A statistically significant association between PCT and complex scores (SOFA, CCI and qSOFA) with the evolution of urosepsis was highlighted. Increased hospitalization costs can be observed in the case of deceased patients and those with septic shock and statistically significantly lower in the case of those with SIRS. The predictability of discriminating urosepsis stages was assessed by using the area under the ROC curve (AUC) and very good specificity and sensitivity was identified in predicting the risk of death for PCT (69.57%, 77.33%), the SOFA (91.33%, 76.82%), qSOFA (91.30%, 74.17%) scores, and CCI (65.22%, 88.74%). The AUC value was best for qSOFA (90.3%). For the SIRS group, the PCT (specificity 91.30%, sensitivity 85.71%) and SOFA (specificity 84.78%, sensitivity 78.74%), qSOFA scores (specificity 84.78%, sensitivity 76, 34%) proved to be relevant in establishing the diagnosis. In the case of the septic shock group, the qSOFA (specificity 92.5%, sensitivity 82.71%) and SOFA (specificity 97.5%, sensitivity 77.44%) as well as PCT (specificity 80%, sensitivity 85.61%) are statistically significant disease-defining variables. An important deficit in the tools needed to classify patients into the sepsis group is obvious. All the variables have an increased specificity but a low sensitivity. This translates into a risk of a false negative diagnosis. Conclusions: Although SOFA and qSOFA scores adequately describe patients with septic shock and they are independent prognostic predictors of mortality, they fail to be accurate in diagnosing sepsis. These scores should not replace the conventional triage protocol. In our study, PCT proved to be a disease-defining marker and an independent prognostic predictor of mortality. Patients with important comorbidities, CCI greater than 10, should be treated more aggressively because of increased mortality. Full article

Background: Prompt recognition of sepsis is critical to improving patients’ outcomes. We compared the performance of NEWS and qSOFA scores as sepsis detection tools in patients admitted to the emergency department (ED) with suspicion of sepsis. Methodology: A single-center 12-month retrospective study comparing NEWS using the recommended cut-off of ≥5 and qSOFA as sepsis screening tools in a cohort of patients transported by emergency medical services (EMS) to the Lausanne University Hospital (LUH). We used the Sepsis-3 consensus definition. The primary study endpoint was the detection of sepsis. Secondary endpoints were ICU admission and 28-day all-cause mortality. Results: Among 886 patients admitted to ED by EMS for suspected infection, 556 (63%) had a complete set of vital parameters panel enabling the calculation of NEWS and qSOFA scores, of whom 300 (54%) had sepsis. For the detection of sepsis, the sensitivity of NEWS > 5 was 86% and that of qSOFA ≥ 2 was 34%. Likewise, the sensitivities of NEWS ≥ 5 for predicting ICU admission and 28-day mortality were higher than those of qSOFA ≥ 2 (82% versus 33% and 88% versus 37%). Conversely, the specificity of qSOFA ≥ 2 for sepsis detection was higher than that of NEWS ≥ 5 (90% versus 55%). The negative predictive value of NEWS > 5 was higher than that of qSOFA ≥ 2 (77% versus 54%), while the positive predictive value of qSOFA ≥ 2 was higher than that of NEWS ≥ 5 (80% versus 69%). Finally, the accuracy of NEWS ≥ 5 was higher than that of qSOFA ≥ 2 (72% versus 60%). Conclusions: The sensitivity of NEWS ≥ 5 was superior to that of qSOFA ≥ 2 to identify patients with sepsis in the ED and predict ICU admission and 28-day mortality. In contrast, qSOFA ≥ 2 had higher specificity and positive predictive values than NEWS ≥ 5 for these three endpoints. Full article

(1) Background: From the recent variants of concern of the SARS-CoV-2 virus, in which the delta variant generated more negative outcomes than the alpha, we hypothesized that lung involvement, clinical condition deterioration and blood alterations were also more severe in autumn infection, when the delta variant dominated (compared with spring infections, when the alpha variant dominated), in severely infected pregnant patients. (2) Methods: In a prospective study, all pregnant patients admitted to the ICU of the Elena Doamna Obstetrics and Gynecology Hospital with a critical form of COVID-19 infection—spring group (n = 11) and autumn group (n = 7)—between 1 January 2021 and 1 December 2021 were included. Brixia scores were calculated for every patient: A score, upon admittance; H score, the highest score throughout hospitalization; and E score, at the end of hospitalization. For each day of Brixia A, H or E score, the qSOFA (quick sepsis-related organ failure assessment) score was calculated, and the blood values were also considered. (3) Results: Brixia E score, C-reactive protein, GGT and LDH were much higher, while neutrophil count was much lower in autumn compared with spring critical-form pregnant patients. (4) Conclusions: the autumn infection generated more dramatic alterations than the spring infection in pregnant patients with critical forms of COVID-19. Larger studies with more numerous participants are required to confirm these results. Full article

Data specific to the epidemiology and burden of sepsis in low- and middle-income countries are limited. This study aimed to determine the epidemiology and burden of adult patients with sepsis at Siriraj Hospital during 2019. Randomly selected adult patients who had blood cultures performed at our center during January–December 2019 were enrolled. A Quick Sepsis-related Organ Failure Assessment (qSOFA) score was used to determine the presence of sepsis. Demographic data and clinical outcome data were collected, and the annual incidence of sepsis or septic shock and death was estimated. Of the 987 subjects who had blood cultures performed, 798 had infections, 341 had sepsis, and 104 had septic shock. The prevalence of sepsis or septic shock was 34.9% among blood cultured patients, and 42.7% among those with infections. The prevalence of septic shock was 30.5% among subjects with sepsis. Approximately 63% of sepsis subjects were hospital-acquired infections. The factors independently associated with 28-day mortality in sepsis were receiving an immunosuppressive agent (adjusted odds ratio [aOR]: 2.37, 95% confidence interval [CI]: 1.27–4.45; p = 0.007), septic shock (aOR: 2.88, 95% CI: 1.71–4.87; p < 0.001), and proven infection (aOR: 2.88, 95% CI: 1.55–5.36; p = 0.001). Receiving appropriate, definitive antibiotic therapy (ABT) was independently associated with lower mortality in sepsis (aOR: 0.50, 95% CI: 0.27–0.93; p = 0.028) and septic shock subjects (aOR: 0.21, 95% CI: 0.06–0.72; p = 0.013). Achievement of mean arterial pressure (MAP) ≥ 65 mmHg (aOR: 0.09, 95% CI: 0.01–0.77; p = 0.028) and urine output ≥ 0.5 mL/kg/h (aOR: 0.15, 95% CI: 0.04–0.51; p = 0.006) were independently associated with lower mortality in septic shock patients. The incidence and mortality of sepsis remains high. Appropriate choice of definitive ABT and achievement of MAP and urine output goals may lower mortality in patients with sepsis or septic shock. Full article

Many healthcare centers around the world have reported the surge of Candida auris (C. auris) outbreaks during the COVID-19 pandemic, especially among intensive care unit (ICU) patients. This is a retrospective study conducted at the American University of Beirut Medical Center (AUBMC) between 1 October 2020 and 15 June 2021, to identify risk factors for acquiring C. auris in patients with severe COVID-19 infection and to evaluate the impact of C. auris on mortality in patients admitted to the ICU during that period. Twenty-four non-COVID-19 (COV−) patients were admitted to ICUs at AUBMC during that period and acquired C. auris (C. auris+/COV−). Thirty-two patients admitted with severe COVID-19 (COV+) acquired C. auris (C. auris+/COV+), and 130 patients had severe COVID-19 without C. auris (C. auris−/COV+). Bivariable analysis between the groups of (C. auris+/COV+) and (C. auris−/COV+) showed that higher quick sequential organ failure assessment (qSOFA) score (p < 0.001), prolonged length of stay (LOS) (p = 0.02), and the presence of a urinary catheter (p = 0.015) or of a central venous catheter (CVC) (p = 0.01) were associated with positive culture for C. auris in patients with severe COVID-19. The multivariable analysis showed that prolonged LOS (p = 0.008) and a high qSOFA score (p < 0.001) were the only risk factors independently associated with positive culture for C. auris. Increased LOS (p = 0.02), high “Candida score” (p = 0.01), and septic shock (p < 0.001) were associated with increased mortality within 30 days of positive culture for C. auris. Antifungal therapy for at least 7 days (p = 0.03) appeared to decrease mortality within 30 days of positive culture for C. auris. Only septic shock was associated with increased mortality in patients with C. auris (p = 0.006) in the multivariable analysis. C. auris is an emerging pathogen that constitutes a threat to the healthcare sector. Full article